Visual Processing and Classification of items on Moving Conveyor with Pick and Place Robot using PLC

2017 ◽  
Vol 3 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Sorayya Kazemi ◽  
Hamed Kharrati
Keyword(s):  
Visual Processing ◽  
Pick And Place

scholarly journals Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1459 ◽  
Author(s):  
Tamás Czimmermann ◽  
Gastone Ciuti ◽  
Mario Milazzo ◽  
Marcello Chiurazzi ◽  
Stefano Roccella ◽  
...  
Keyword(s):  
Deep Learning ◽  
Defect Detection ◽  
Visual Processing ◽  
State Of The Art ◽  
Industrial Applications ◽  
The State ◽  
Shape Error ◽  
Supervised Classifiers ◽  
Processing Techniques

This paper reviews automated visual-based defect detection approaches applicable to various materials, such as metals, ceramics and textiles. In the first part of the paper, we present a general taxonomy of the different defects that fall in two classes: visible (e.g., scratches, shape error, etc.) and palpable (e.g., crack, bump, etc.) defects. Then, we describe artificial visual processing techniques that are aimed at understanding of the captured scenery in a mathematical/logical way. We continue with a survey of textural defect detection based on statistical, structural and other approaches. Finally, we report the state of the art for approaching the detection and classification of defects through supervised and non-supervised classifiers and deep learning.

Effects of ectostriatal lesions on natural concept, pseudoconcept, and artificial pattern discrimination in pigeons

1991 ◽  
Vol 6 (5) ◽  
pp. 497-506 ◽  
Author(s):  
Shigeru Watanabe
Keyword(s):  
Visual Processing ◽  
Generalization Test ◽  
Pattern Discrimination ◽  
Stimulus Generalization ◽  
Object Discrimination ◽  
Food Object ◽  
Natural Stimuli ◽  
Natural Concept ◽  
Concept Discrimination

AbstractPigeons were trained on four different visual discrimination tasks: (1) concept of natural stimuli (food vs. non-food object discrimination); (2) arbitrary classification of natural stimuli (pseudoconcept); (3) concept of artificial stimuli (triangles generated by computer graphics); and (4) discrimination of one pair of artificial stimuli. Then, lesions of the ectostriatum were carried out. The ectostriatal lesions impaired the arbitrary classification of natural stimuli and the concept of artificial pattern but did not impair the natural concept or the simple discrimination of fixed two stimuli. Lesions in the neostriatum did not cause deficits in any discrimination task. The birds had to learn individual stimuli for the arbitrary classification of stimuli and the stimulus generalization test after the artificial pattern concept discrimination indicated that the pigeons formed a concept more complicated than “triangle” in human language. These results suggest that the ectostriatum plays a role in task discrimination that requires much visual processing to classify stimuli.

scholarly journals Application of Multi-Descriptor Binary Shape Analysis for Classification of Electronic Parts

2020 ◽  
Vol 26 (4) ◽  
pp. 479-495
Author(s):  
Kamil Maliński ◽  
Krzysztof Okarma
Keyword(s):  
Shape Analysis ◽  
High Speed ◽  
Printed Circuit Boards ◽  
Industrial Applications ◽  
Electronic Packages ◽  
Circuit Boards ◽  
Small Surface ◽  
Pick And Place ◽  
Electronic Parts

Rapid growth of availability of modern electronic and robotic solutions, also for home and amateur use, related to the progress in home automation and popularity of the IoT systems, makes it possible to develop some unique hardware solutions, also by independent researchers and engineers, often with the help of the 3D printing technology. Although in many industrial applications high speed pick and place machines are used for assembling small surface-mount devices (SMD), especially in mass production of electronic parts, there are still some applications, where the traditional through-hole technology used in Printed Circuit Boards (PCB) is utilised, particularly considering some mechanical, thermal or power conditions, preventing the use of the SMD technology. One of the possibilities of supporting such types of production and prototyping, in some cases supported by relatively less sophisticated robotic solutions, may be the application of vision systems, making it possible to classify and recognize some electronics parts with the use of shape analysis of their packages as well as further optical recognition of markings. Another application of such methods may be related to the automatic vision based verification of the assembling quality and correctness of the placement of electronic parts after completing the production. In the paper some experimental results, obtained using various shape descriptors for the classification of electronic packages, are presented. The initial experiments, obtained for a prepared dedicated database of synthetic images, have been verified and confirmed also for some natural images, leading to promising results.

scholarly journals Attention-related modulation of caudate neurons depends on superior colliculus activity

2019 ◽  
Author(s):  
James P. Herman ◽  
Fabrice Arcizet ◽  
Richard J. Krauzlis
Keyword(s):  
Basal Ganglia ◽  
Superior Colliculus ◽  
Visual Processing ◽  
Functional Relationship ◽  
Subcortical Structures ◽  
Traditional Role ◽  
Attention Task ◽  
Midbrain Structure ◽  
Caudate Nucleus Head

AbstractRecent work has implicated the basal ganglia in visual perception and attention, in addition to their traditional role in motor control. The basal ganglia, especially the caudate nucleus “head” (CDh) of the striatum, receive indirect anatomical connections from the superior colliculus, a midbrain structure that is known to play a crucial role in the control of visual attention. To test the possible functional relationship between these subcortical structures, we recorded CDh neuronal activity before and during unilateral SC inactivation in a spatial attention task. SC inactivation significantly altered the attention-related modulation of CDh neurons and strongly impaired the classification of task epochs based on CDh activity. Only inactivation of the same-side of SC as recorded CDh neurons, not the opposite-side, had these effects. These results demonstrate a novel interaction between SC activity and attention-related visual processing in the basal ganglia.

scholarly journals Pick-and-Place Task Implementation Using Visual Open-Loop Control

2019 ◽  
Vol 13 (3) ◽  
pp. 211-216
Author(s):  
Paweł Kołosowski ◽  
Adam Wolniakowski ◽  
Mariusz Bogdan
Keyword(s):  
Visual Processing ◽  
Template Matching ◽  
Visual Recognition ◽  
Open Loop ◽  
Work Piece ◽  
Loop Control ◽  
Pick And Place ◽  
Place Task ◽  
Sorting System ◽  
And Control

Abstract In the ever increasing number of robotic system applications in the industry, the robust and fast visual recognition and pose estimation of workpieces are of utmost importance. One of the ubiquitous tasks in industrial settings is the pick-and-place task where the object recognition is often important. In this paper, we present a new implementation of a work-piece sorting system using a template matching method for recognizing and estimating the position of planar workpieces with sparse visual features. The proposed framework is able to distinguish between the types of objects presented by the user and control a serial manipulator equipped with parallel finger gripper to grasp and sort them automatically. The system is furthermore enhanced with a feature that optimizes the visual processing time by automatically adjusting the template scales. We test the proposed system in a real-world setup equipped with a UR5 manipulator and provide experimental results documenting the performance of our approach.

scholarly journals Automatic classification of ICA components from infant EEG using MARA

2021 ◽  
Author(s):  
I. Marriot Haresign ◽  
E. Phillips ◽  
M. Whitehorn ◽  
V. Noreika ◽  
E.J.H. Jones ◽  
...  
Keyword(s):  
Visual Processing ◽  
Free Play ◽  
Automatic Identification ◽  
Automated Classification ◽  
Specific System ◽  
Flexible Tool ◽  
Eeg Data ◽  
Ocular Artifact ◽  
Manual Classification

AbstractAutomated systems for identifying and removing non-neural ICA components are growing in popularity among adult EEG researchers. Infant EEG data differs in many ways from adult EEG data, but there exists almost no specific system for automated classification of source components from paediatric populations. Here, we adapt one of the most popular systems for adult ICA component classification for use with infant EEG data. Our adapted classifier significantly outperformed the original adult classifier on samples of naturalistic free play EEG data recorded from 10 to 12-month-old infants, achieving agreement rates with the manual classification of over 75% across two validation studies (n=44, n=25). Additionally, we examined both classifiers ability to remove stereotyped ocular artifact from a basic visual processing ERP dataset, compared to manual ICA data cleaning. Here the new classifier performed on level with expert manual cleaning and was again significantly better than the adult classifier at removing artifact whilst retaining a greater amount of genuine neural signal, operationalised through comparing ERP activations in time and space. Our new system (iMARA) offers developmental EEG researchers a flexible tool for automatic identification and removal of artifactual ICA components.

scholarly journals Attention-related modulation of caudate neurons depends on superior colliculus activity

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
James P Herman ◽  
Fabrice Arcizet ◽  
Richard J Krauzlis
Keyword(s):  
Basal Ganglia ◽  
Superior Colliculus ◽  
Visual Processing ◽  
Subcortical Structures ◽  
Traditional Role ◽  
Attention Task ◽  
Midbrain Structure ◽  
The Brain ◽  
Caudate Nucleus Head

Recent work has implicated the primate basal ganglia in visual perception and attention, in addition to their traditional role in motor control. The basal ganglia, especially the caudate nucleus ‘head’ (CDh) of the striatum, receive indirect anatomical connections from the superior colliculus (SC), a midbrain structure that is known to play a crucial role in the control of visual attention. To test the possible functional relationship between these subcortical structures, we recorded CDh neuronal activity of macaque monkeys before and during unilateral SC inactivation in a spatial attention task. SC inactivation significantly altered the attention-related modulation of CDh neurons and strongly impaired the classification of task-epochs based on CDh activity. Only inactivation of SC on the same side of the brain as recorded CDh neurons, not the opposite side, had these effects. These results demonstrate a novel interaction between SC activity and attention-related visual processing in the basal ganglia.

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